Session: Semantic information extraction, deep learning_46
Banner

XXIV ISPRS Congress


Nice, France, 06.06.2022 - 11.06.2022
Organizer: Société Française de Photogrammétrie et de Télédétection / Nicolas Paparoditis
Type of Event: Congress
Multi Media Type: Hybrid



Session: TC_46

Semantic information extraction, deep learning_46


Single Presentations

VideoImage
MICHEL Andreas

ARM-NMS: Shape Based Non-Maximum Suppression For Instance Segmentation In Large Scale Imagery
Corresponding paper: ARM-NMS: SHAPE BASED NON-MAXIMUM SUPPRESSION FOR INSTANCE SEGMENTATION IN LARGE SCALE IMAGERY
Auhor(s): A. Michel, W. Gross, S. Hinz, and W. Middelmann
Volume: V-2-2022 / 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022 
 

VideoImage
MICHEL Andreas

ARM-NMS: Shape Based Non-Maximum Suppression For Instance Segmentation In Large Scale Imagery
Corresponding paper: ARM-NMS: SHAPE BASED NON-MAXIMUM SUPPRESSION FOR INSTANCE SEGMENTATION IN LARGE SCALE IMAGERY
Auhor(s): A. Michel, W. Gross, S. Hinz, and W. Middelmann
Volume: V-2-2022 / 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-291-2022 
 

VideoImage
MURTIYOSO Arnadi

Automatic Training Data Generation In Deep Learning-Aided Semantic Segmentation Of Heritage Buildings
Corresponding paper: AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS
Auhor(s): A. Murtiyoso, F. Matrone, M. Martini, A. Lingua, P. Grussenmeyer, and R. Pierdicca
Volume: V-2-2022 / 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022 
 

VideoImage
RUTZINGER Martin

Vegetation Cover Mapping From RGB Webcam Time Series For Land Surface Emissivity Retrieval In High Mountain Areas
Corresponding paper: VEGETATION COVER MAPPING FROM RGB WEBCAM TIME SERIES FOR LAND SURFACE EMISSIVITY RETRIEVAL IN HIGH MOUNTAIN AREAS
Auhor(s): B. Hiebl, A. Mayr, A. Kollert, M. Rutzinger, M. Bremer, N. Helm, and K. Chytry
Volume: V-2-2022 / 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-367-2022 
 

VideoImage
CAN Recep

Deep Learning Based Building Footprint Extraction From Very High Resolution True Orthophotos And Ndsm
Corresponding paper: DEEP LEARNING BASED BUILDING FOOTPRINT EXTRACTION FROM VERY HIGH RESOLUTION TRUE ORTHOPHOTOS AND NDSM
Auhor(s): M. Buyukdemircioglu, R. Can, S. Kocaman, and M. Kada
Volume: V-2-2022 / 2022
https://doi.org/10.5194/isprs-annals-V-2-2022-211-2022 
 

 


 

Logo

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org